73 search results - page 1 / 15 » Ensembles of Multi-Objective Decision Trees |
ECML
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. Ensemble methods are able to improve the predictive performance of many base classifiers. Up till now, they have been applied to classifiers that predict a single target ...
DIS
2008
Springer
14 years 11 months ago
2008
Springer
Decision trees are among the most effective and interpretable classification algorithms while ensembles techniques have been proven to alleviate problems regarding over-fitting and...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
This paper explores the problem of how to construct lazy decision tree ensembles. We present and empirically evaluate a relevancebased boosting-style algorithm that builds a lazy ...
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ECML
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
CORR
2002
Springer
14 years 9 months ago
2002
Springer
This paper presents an evaluation of an ensemble